{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn import datasets\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "加州房价"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.datasets import fetch_california_housing\n",
    "house=fetch_california_housing()#加州房屋数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['MedInc',\n",
       " 'HouseAge',\n",
       " 'AveRooms',\n",
       " 'AveBedrms',\n",
       " 'Population',\n",
       " 'AveOccup',\n",
       " 'Latitude',\n",
       " 'Longitude']"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "house.feature_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(20640,)\n",
      "(20640,)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1d44a95ae50>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x=house.data[:,0]#使用一个特征\n",
    "y=house.target\n",
    "print(x.shape)\n",
    "print(y.shape)\n",
    "plt.scatter(x,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1d44a5339d0>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x=x[y<5]#取出对应y<50的点\n",
    "y=y[y<5]#取出对应y<50的点\n",
    "plt.scatter(x,y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "使用简单回归算法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "x_train,x_test,y_train,y_test=train_test_split(x,y,test_size=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.4029315074443891\n",
      "0.4442846457652525\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from SimpleLinearRegression import SimpleLinearRegression2\n",
    "reg=SimpleLinearRegression2()\n",
    "reg.fit(x_train,y_train)\n",
    "#打印参数\n",
    "print(reg.a_)\n",
    "print(reg.b_)\n",
    "#绘图对比\n",
    "plt.scatter(x_train,y_train)\n",
    "plt.plot(x_train,reg.a_*x_train+reg.b_,color=\"r\")\n",
    "plt.show()\n",
    "#预测\n",
    "y_predict=reg.predict(x_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "MSE评价"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.5437840692561368\n"
     ]
    }
   ],
   "source": [
    "mse_test=np.sum((y_test-y_predict)**2)/len(y_test)\n",
    "print(mse_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "RMSE评价"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.7374171609449679\n"
     ]
    }
   ],
   "source": [
    "from math import sqrt\n",
    "\"\"\"在RMSE量纲下，房价误差平均在0.7315231097648754万美元\"\"\"\n",
    "rmse=sqrt(mse_test)\n",
    "print(rmse)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "MAE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.5630604980476313\n"
     ]
    }
   ],
   "source": [
    "\"\"\"在MAE量纲下，房价预测平均误差在0.5611713380794199万美元\"\"\"\n",
    "mae_test=np.sum(np.absolute(y_predict-y_test))/len(y_test)\n",
    "print(mae_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"使用封装的方法\"\"\"\n",
    "from metrics import mean_absolute_error\n",
    "from metrics import root_mean_squared_error\n",
    "from metrics import mean_absolute_error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5630604980476313"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_absolute_error(y_test,y_predict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7374171609449679"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "root_mean_squared_error(y_test,y_predict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5630604980476313"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_absolute_error(y_test,y_predict)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "scikit-learn中的MSE和MAE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.5437840692561368\n",
      "0.5630604980476313\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import mean_absolute_error\n",
    "from sklearn.metrics import mean_squared_error\n",
    "print(mean_squared_error(y_true=y_test,y_pred=y_predict))\n",
    "print(mean_absolute_error(y_true=y_test,y_pred=y_predict))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "R square"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.41083841563365997"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#R评价，测试没有错误的指标（1-MSE/var）\n",
    "R_square=1-mean_squared_error(y_true=y_test,y_pred=y_predict)/np.var(y_test)\n",
    "R_square"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "使用sklearn 中的R squard"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.41083841563365997"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import r2_score\n",
    "r2_score(y_test,y_predict)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "封装入SimpleLinearRegression中的R评价"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.41083841563365997"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from SimpleLinearRegression import SimpleLinearRegression2\n",
    "reg=SimpleLinearRegression2()\n",
    "reg.fit(x_train,y_train)\n",
    "reg.score(x_test,y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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